Patents by Inventor Joydeep Ray

Joydeep Ray has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Efficient thread group scheduling
    Patent number: 11360808
    Abstract: A mechanism is described for facilitating intelligent thread scheduling at autonomous machines. A method of embodiments, as described herein, includes detecting dependency information relating to a plurality of threads corresponding to a plurality of workloads associated with tasks relating to a processor including a graphics processor. The method may further include generating a tree of thread groups based on the dependency information, where each thread group includes multiple threads, and scheduling one or more of the thread groups associated a similar dependency to avoid dependency conflicts.
    Type: Grant
    Filed: April 9, 2017
    Date of Patent: June 14, 2022
    Assignee: Intel Corporation
    Inventors: Joydeep Ray, Abhishek R. Appu, Altug Koker, Kamal Sinha, Balaji Vembu, Rajkishore Barik, Eriko Nurvitadhi, Nicolas Galoppo Von Borries, Tsung-Han Lin, Sanjeev Jahagirdar, Vasanth Ranganathan
  • Graphics processing integrated circuit package
    Patent number: 11360933
    Abstract: An integrated circuit (IC) package apparatus is disclosed. The IC package includes one or more processing units and a bridge, mounted below the one or more processing unit, including one or more arithmetic logic units (ALUs) to perform atomic operations.
    Type: Grant
    Filed: January 16, 2020
    Date of Patent: June 14, 2022
    Assignee: Intel Corporation
    Inventors: Altug Koker, Farshad Akhbari, Feng Chen, Dukhwan Kim, Narayan Srinivasa, Nadathur Rajagopalan Satish, Liwei Ma, Jeremy Bottleson, Eriko Nurvitadhi, Joydeep Ray, Ping T. Tang, Michael S. Strickland, Xiaoming Chen, Tatiana Shpeisman, Abhishek R. Appu
  • Instructions and logic to perform floating point and integer operations for machine learning
    Patent number: 11360767
    Abstract: A processing apparatus is provided comprising a multiprocessor having a multithreaded architecture. The multiprocessor can execute at least one single instruction to perform parallel mixed precision matrix operations. In one embodiment the apparatus includes a memory interface and an array of multiprocessors coupled to the memory interface. At least one multiprocessor in the array of multiprocessors is configured to execute a fused multiply-add instruction in parallel across multiple threads.
    Type: Grant
    Filed: July 6, 2021
    Date of Patent: June 14, 2022
    Assignee: Intel Corporation
    Inventors: Himanshu Kaul, Mark A. Anders, Sanu K. Mathew, Anbang Yao, Joydeep Ray, Ping T. Tang, Michael S. Strickland, Xiaoming Chen, Tatiana Shpeisman, Abhishek R. Appu, Altug Koker, Kamal Sinha, Balaji Vembu, Nicolas C. Galoppo Von Borries, Eriko Nurvitadhi, Rajkishore Barik, Tsung-Han Lin, Vasanth Ranganathan, Sanjeev Jahagirdar
  • SYNERGISTIC TEMPORAL ANTI-ALIASING AND COARSE PIXEL SHADING TECHNOLOGY
    Publication number: 20220182575
    Abstract: Systems, apparatuses and methods may provide for technology that determines a frame rate of video content, sets a blend amount parameter based on the frame rate, and temporally anti-aliases the video content based on the blend amount parameter. Additionally, the technology may detect a coarse pixel (CP) shading condition with respect to one or more frames in the video content and select, in response to the CP shading condition, a per frame jitter pattern that jitters across pixels, wherein the video content is temporally anti-aliased based on the per frame jitter pattern. The CP shading condition may also cause the technology to apply a gradient to a plurality of color planes on a per color plane basis and discard pixel level samples associated with a CP if all mip data corresponding to the CP is transparent or shadowed out.
    Type: Application
    Filed: December 14, 2021
    Publication date: June 9, 2022
    Inventors: Travis T. Schluessler, Joydeep Ray, John H. Feit, Nikos Kaburlasos, Jacek Kwiatkowski, Karthik Vaidyanathan, Prasoonkumar Surti, Michael Apodaca, Murali Ramadoss, Abhishek Venkatesh
  • SYSTEMS AND METHODS FOR IMPROVING CACHE EFFICIENCY AND UTILIZATION
    Publication number: 20220179787
    Abstract: Systems and methods for improving cache efficiency and utilization are disclosed. In one embodiment, a graphics processor includes processing resources to perform graphics operations and a cache controller of a cache coupled to the processing resources. The cache controller is configured to control cache priority by determining whether default settings or an instruction will control cache operations for the cache.
    Type: Application
    Filed: March 14, 2020
    Publication date: June 9, 2022
    Applicant: Intel Corporation
    Inventors: Altug Koker, Joydeep Ray, Ben Ashbaugh, Jonathan Pearce, Abhishek Appu, Vasanth Ranganathan, Lakshminarayanan Striramassarma, Elmoustapha Ould-Ahmed-Vall, Aravindh Anantaraman, Valentin Andrei, Nicolas Galoppo Von Borries, Varghese George, Yoav Harel, Arthur Hunter, Jr., Brent Insko, Scott Janus, Pattabhiraman K, Mike Macpherson, Subramaniam Maiyuran, Marian Alin Petre, Murali Ramadoss, Shailesh Shah, Kamal Sinha, Prasoonkumar Surti, Vikranth Vemulapalli
  • SYSTEMS AND METHODS FOR UPDATING MEMORY SIDE CACHES IN A MULTI-GPU CONFIGURATION
    Publication number: 20220180467
    Abstract: Systems and methods for updating remote memory side caches in a multi-GPU configuration are disclosed herein. In one embodiment, a graphics processor for a multi-tile architecture includes a first graphics processing unit (GPU) having a first memory, a first memory side cache memory, a first communication fabric, and a first memory management unit (MMU). The graphics processor includes a second graphics processing unit (GPU) having a second memory, a second memory side cache memory, a second memory management unit (MMU), and a second communication fabric that is communicatively coupled to the first communication fabric. The first MMU is configured to control memory requests for the first memory, to update content in the first memory, to update content in the first memory side cache memory, and to determine whether to update the content in the second memory side cache memory.
    Type: Application
    Filed: March 14, 2020
    Publication date: June 9, 2022
    Applicant: Intel Corporation
    Inventors: Altug Koker, Joydeep Ray, Aravindh Anantaraman, Valentin Andrei, Abhishek Appu, Sean Coleman, Nicolas Galoppo Von Borries, Varghese George, Pattabhiraman K, SungYe Kim, Mike Macpherson, Subramaniam Maiyuran, Elmoustapha Ould-Ahmed-Vall, Vasanth Ranganathan, James Valerio
  • Page faulting and selective preemption
    Patent number: 11354769
    Abstract: One embodiment provides for a parallel processor comprising a processing array within the parallel processor, the processing array including multiple compute blocks, each compute block including multiple processing clusters configured for parallel operation, wherein each of the multiple compute blocks is independently preemptable. In one embodiment a preemption hint can be generated for source code during compilation to enable a compute unit to determine an efficient point for preemption.
    Type: Grant
    Filed: July 9, 2020
    Date of Patent: June 7, 2022
    Assignee: Intel Corporation
    Inventors: Altug Koker, Ingo Wald, David Puffer, Subramaniam M. Maiyuran, Prasoonkumar Surti, Balaji Vembu, Guei-Yuan Lueh, Murali Ramadoss, Abhishek R. Appu, Joydeep Ray
  • Barriers and synchronization for machine learning at autonomous machines
    Patent number: 11353868
    Abstract: One or more examples include an apparatus having a hardware barrier logic to detect thread groups relating to machine learning operations and facilitate barrier synchronization of the thread groups across multiple dies representing multiple processors, such that data processing using the threads groups across the multiple processors is synchronized and stall-free.
    Type: Grant
    Filed: April 24, 2017
    Date of Patent: June 7, 2022
    Assignee: Intel Corporation
    Inventors: Abhishek R. Appu, Altug Koker, Joydeep Ray, Balaji Vembu, John C. Weast, Mike B. Macpherson, Dukhwan Kim, Linda L. Hurd, Sanjeev Jahagirdar, Vasanth Ranganathan
  • De-centralized load-balancing at processors
    Patent number: 11354171
    Abstract: A mechanism is described for facilitating localized load-balancing for processors in computing devices. A method of embodiments, as described herein, includes facilitating hosting, at a processor of a computing device, a local load-balancing mechanism. The method may further include monitoring balancing of loads at the processor and serving as a local scheduler to maintain de-centralized load-balancing at the processor and between the processor and other one or more processors.
    Type: Grant
    Filed: December 22, 2020
    Date of Patent: June 7, 2022
    Assignee: Intel Corporation
    Inventors: Prasoonkumar Surti, David Cowperthwaite, Abhishek R. Appu, Joydeep Ray, Vasanth Ranganathan, Altug Koker, Balaji Vembu
  • Motion biased foveated renderer
    Patent number: 11354848
    Abstract: Systems, apparatuses and methods may provide for technology that assigns a first shading rate to a first region of a frame. The technology further assigns a second shading rate to a second region of the frame. The first shading rate indicates that the first region will be rendered at a first resolution, and the second shading rate indicates that the second region will be rendered at a second resolution less than the first resolution. The first and second shading rates are associated with a selection based on a motion vector that corresponds to motion of an object. The object is rendered as part of a scene that includes the first region rendered at the first resolution and the second region rendered at the second resolution.
    Type: Grant
    Filed: October 24, 2019
    Date of Patent: June 7, 2022
    Assignee: Intel Corporation
    Inventors: Prasoonkumar Surti, Karthik Vaidyanathan, Atsuo Kuwahara, Hugues Labbe, Sameer Kp, Jonathan Kennedy, Joydeep Ray, Travis T. Schluessler, John H. Feit, Nikos Kaburlasos, Jacek Kwiatkowski, Tomer Bar-On, Carsten Benthin, Adam T. Lake, Vasanth Ranganathan, Abhishek R. Appu
  • Apparatus and method for dynamic provisioning, quality of service, and prioritization in a graphics processor
    Patent number: 11354770
    Abstract: An apparatus and method for dynamic provisioning, quality of service, and prioritization in a graphics processor. For example, one embodiment of an apparatus comprises a graphics processing unit (GPU) comprising a plurality of graphics processing resources; slice configuration hardware logic to logically subdivide the graphics processing resources into a plurality of slices; and slice allocation hardware logic to allocate a designated number of slices to each virtual machine (VM) of a plurality of VMs running in a virtualized execution environment, the slice allocation hardware logic to allocate different numbers of slices to different VMs based on graphics processing requirements and/or priorities of each of the VMs.
    Type: Grant
    Filed: February 23, 2021
    Date of Patent: June 7, 2022
    Assignee: INTEL CORPORATION
    Inventors: Abhishek R. Appu, Joydeep Ray, Altug Koker, Balaji Vembu, Pattabhiraman K, Matthew B. Callaway
  • Intelligent graphics dispatching mechanism
    Patent number: 11354768
    Abstract: An apparatus to facilitate data intelligent dispatching is disclosed. The apparatus includes one or more processing units including a plurality of execution units (EUs) to execute a plurality of processing threads and collection logic to collect statistics data for threads executed at the processing unit during execution of an application, and dispatch logic to dispatch the threads to be executed at a subset of the plurality of EUs during a subsequent execution of the application based on the statistics data.
    Type: Grant
    Filed: February 14, 2020
    Date of Patent: June 7, 2022
    Assignee: Intel Corporation
    Inventors: Balaji Vembu, Murali Ramadoss, Guei-Yuan Lueh, Subramaniam M. Maiyuran, Abhishek R. Appu, Joydeep Ray, Altug Koker, James A. Valerio, Eric J. Hoekstra, Arthur D. Hunter, Jr.
  • CACHE STRUCTURE AND UTILIZATION
    Publication number: 20220171710
    Abstract: Embodiments are generally directed to cache structure and utilization. An embodiment of an apparatus includes one or more processors including a graphics processor; a memory for storage of data for processing by the one or more processors; and a cache to cache data from the memory; wherein the apparatus is to provide for dynamic overfetching of cache lines for the cache, including receiving a read request and accessing the cache for the requested data, and upon a miss in the cache, overfetching data from memory or a higher level cache in addition to fetching the requested data, wherein the overfetching of data is based at least in part on a current overfetch boundary, and provides for data is to be prefetched extending to the current overfetch boundary.
    Type: Application
    Filed: February 17, 2022
    Publication date: June 2, 2022
    Applicant: Intel Corporation
    Inventors: Altug Koker, Lakshminarayanan Striramassarma, Aravindh Anantaraman, Valentin Andrei, Abhishek R. Appu, Sean Coleman, Varghese George, Pattabhiraman K, Mike MacPherson, Subramaniam Maiyuran, ElMoustapha Ould-Ahmed-Vall, Vasanth Ranganathan, Joydeep Ray, Jayakrishna P S, Prasoonkumar Surti
  • Compute optimization mechanism for deep neural networks
    Patent number: 11348198
    Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes a plurality of processing units each comprising a plurality of execution units (EUs), wherein the plurality of EUs comprise a first EU type and a second EU type.
    Type: Grant
    Filed: January 11, 2021
    Date of Patent: May 31, 2022
    Assignee: Intel Corporation
    Inventors: Prasoonkumar Surti, Narayan Srinivasa, Feng Chen, Joydeep Ray, Ben J. Ashbaugh, Nicolas C. Galoppo Von Borries, Eriko Nurvitadhi, Balaji Vembu, Tsung-Han Lin, Kamal Sinha, Rajkishore Barik, Sara S. Baghsorkhi, Justin E. Gottschlich, Altug Koker, Nadathur Rajagopalan Satish, Farshad Akhbari, Dukhwan Kim, Wenyin Fu, Travis T. Schluessler, Josh B. Mastronarde, Linda L. Hurd, John H. Feit, Jeffery S. Boles, Adam T. Lake, Karthik Vaidyanathan, Devan Burke, Subramaniam Maiyuran, Abhishek R. Appu
  • ADAPTIVE MULTISAMPLING BASED ON VERTEX ATTRIBUTES
    Publication number: 20220165022
    Abstract: Systems, apparatuses and methods may provide for technology that selects an anti-aliasing mode for a vertex of a primitive based on a parameter associated with the vertex and generates a coverage mask based on the selected anti-aliasing mode. Additionally, one or more pixels corresponding to the vertex may be shaded based at least partly on the coverage mask, wherein the selected anti-aliasing mode varies across a plurality of vertices in the primitive.
    Type: Application
    Filed: September 3, 2021
    Publication date: May 26, 2022
    Applicant: Intel Corporation
    Inventors: Prasoonkumar Surti, Abhishek R. Appu, Joydeep Ray
  • Graphics engine partitioning mechanism
    Patent number: 11341600
    Abstract: An apparatus to facilitate partitioning of a graphics device is disclosed. The apparatus includes a plurality of engines and logic to partition the plurality of engines to facilitate independent access to each engine within the plurality of engines.
    Type: Grant
    Filed: November 13, 2019
    Date of Patent: May 24, 2022
    Assignee: Intel Corporation
    Inventors: Abhishek R. Appu, Balaji Vembu, Altug Koker, Bryan R. White, David J. Cowperthwaite, Joydeep Ray, Murali Ramadoss
  • Apparatus and method for protecting content in virtualized and graphics environments
    Patent number: 11341212
    Abstract: An apparatus and method for protecting content in a graphics processor. For example, one embodiment of an apparatus comprises: encode/decode circuitry to decode protected audio and/or video content to generate decoded audio and/or video content; a graphics cache of a graphics processing unit (GPU) to store the decoded audio and/or video content; first protection circuitry to set a protection attribute for each cache line containing the decoded audio and/or video data in the graphics cache; a cache coherency controller to generate a coherent read request to the graphics cache; second protection circuitry to read the protection attribute to determine whether the cache line identified in the read request is protected, wherein if it is protected, the second protection circuitry to refrain from including at least some of the data from the cache line in a response.
    Type: Grant
    Filed: February 17, 2020
    Date of Patent: May 24, 2022
    Assignee: INTEL CORPORATION
    Inventors: Joydeep Ray, Abhishek R. Appu, Pattabhiraman K, Balaji Vembu, Altug Koker
  • THREAD SCHEDULING OVER COMPUTE BLOCKS FOR POWER OPTIMIZATION
    Publication number: 20220156875
    Abstract: Thread dispatch circuitry is configured to dispatch threads of a two-dimensional (2D) thread group based on data access locality associated with the threads. The thread dispatch circuitry can dispatch a first 2D sub-group of the 2D thread group to a compute block of the multiple compute blocks, the first 2D sub-group associated with a first 2D tile of memory and dispatch a second 2D sub-group of the 2D thread group to the compute block of the multiple compute blocks, the second 2D sub-group associated with a second 2D tile of memory.
    Type: Application
    Filed: November 16, 2021
    Publication date: May 19, 2022
    Applicant: Intel Corporation
    Inventors: Altug Koker, Balaji Vembu, Joydeep Ray, James A. Valerio, Abhishek R. Appu
  • SYSTEMS AND METHODS FOR CACHE OPTIMIZATION
    Publication number: 20220156202
    Abstract: Systems and methods for improving cache efficiency and utilization are disclosed. In one embodiment, a graphics processor includes processing resources to perform graphics operations and a cache controller of a cache memory that is coupled to the processing resources. The cache controller is configured to set an initial aging policy using an aging field based on age of cache lines within the cache memory and to determine whether a hint or an instruction to indicate a level of aging has been received. In one embodiment, the cache memory configured to be partitioned into multiple cache regions, wherein the multiple cache regions include a first cache region having a cache eviction policy with a configurable level of data persistence.
    Type: Application
    Filed: February 1, 2022
    Publication date: May 19, 2022
    Applicant: Intel Corporation
    Inventors: Altug Koker, Joydeep Ray, Elmoustapha Ould-Ahmed-Vall, Abhishek Appu, Aravindh Anantaraman, Valentin Andrei, Durgaprasad Bilagi, Varghese George, Brent Insko, Sanjeev Jahagirdar, Scott Janus, Pattabhiraman K, SungYe Kim, Subramaniam Maiyuran, Vasanth Ranganathan, Lakshminarayanan Striramassarma, Xinmin Tian
  • COMPUTE OPTIMIZATION MECHANISM FOR DEEP NEURAL NETWORKS
    Publication number: 20220156876
    Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes one or more processing units to provide a first set of shader operations associated with a shader stage of a graphics pipeline, a scheduler to schedule shader threads for processing, and a field-programmable gate array (FPGA) dynamically configured to provide a second set of shader operations associated with the shader stage of the graphics pipeline.
    Type: Application
    Filed: November 18, 2021
    Publication date: May 19, 2022
    Applicant: Intel Corporation
    Inventors: Prasoonkumar Surti, Narayan Srinivasa, Feng Chen, Joydeep Ray, Ben J. Ashbaugh, Nicolas C. Galoppo Von Borries, Eriko Nurvitadhi, Balaji Vembu, Tsung-Han Lin, Kamal Sinha, Rajkishore Barik, Sara S. Baghsorkhi, Justin E. Gottschlich, Altug Koker, Nadathur Rajagopalan Satish, Farshad Akhbari, Dukhwan Kim, Wenyin Fu, Travis T. Schluessler, Josh B. Mastronarde, Linda L. Hurd, John H. Feit, Jeffery S. Boles, Adam T. Lake, Karthik Vaidyanathan, Devan Burke, Subramaniam Maiyuran, Abhishek R. Appu